Kubernetes Platform Engineering Manager

California

On-site

USD 177,000 - 365,000

Full time

4 days ago

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Job summary

Pinterest is seeking a Manager II, Engineering to lead the Kubernetes Platform team, building and operating the infrastructure that enables engineers to run reliable, scalable services on Kubernetes. You will guide production systems with an emphasis on reliability, security, cost, and performance across partner teams.

You will recruit and mentor engineers, define a 12‑month strategy, and drive architectural decisions.

Qualifications

Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
Minimum 3 years of experience managing engineering teams in infrastructure, platform engineering, Site Reliability Engineering, cloud systems, distributed systems, or similar technical areas.
Experience managing and developing teams that build or operate large-scale cloud infrastructure, Kubernetes platforms, shared compute platforms, or other production systems.
Experience setting a multi-quarter technical strategy and delivering through senior engineers.
Technical experience in public cloud, highly available distributed systems, Kubernetes or shared-compute platforms, and production operations.
A strong reliability mindset and experience leading teams responsible for the operational quality of production systems.
Experience leading cross-functional infrastructure programs and communicating reliability, security, cost, capacity, and delivery tradeoffs to partner teams.
Demonstrated ability to use AI to improve speed and quality in day-to-day work.
Strong record of evaluating AI-assisted work through testing, source checking, data validation, or peer review.
High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Responsibilities

Lead a team of engineers responsible for Kubernetes platform infrastructure and the systems that support it.
Establish the team’s 12-month strategy, roadmap, and success measures.
Improve the reliability, security, scalability, and operational efficiency of the platform.
Drive architecture and technical decisions, including in areas that are new to you. Build context quickly, involve the right experts, and make decisions when the team needs direction.
Build automation, standard configurations, and self-service paths that reduce manual work for both the team and its customers.
Set a high bar for how the team operates production systems, including service health, observability, on-call, incident response, and safe changes.
Partner with engineering, product, finance, security, and cloud-provider teams on shared technical and operational challenges.
Recruit, coach, and develop engineers; empower senior technical leaders; and sustain an inclusive, accountable team.
Use AI to accelerate analysis, investigations, documentation, and repeatable workflows while applying judgment and verification to ensure quality.